Medical Support Calibration via Automatic Component Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The manual setting of dip switches on medical device control systems for recognizing standard and optional features is labor-intensive and prone to human error, making it inefficient for proper operation.
Innovation Solution
A medical support control system with a microprocessor that detects connected components, calibrates them, and runs diagnostics, using various detection methods such as sensors, RFID tags, and communication devices to ensure proper installation and functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual dip switch setting is used for component recognition, then the control system can identify standard and optional features, but the process becomes labor-intensive and prone to human error
Solution Approach 1:
The component performs self-identification by transmitting its own identification data to the control system upon connection. The microprocessor automatically detects and calibrates the component without requiring manual dip switch configuration, making the system self-servicing and eliminating human error in component recognition.
Solution Approach 2:
The patent replaces the mechanical dip switch system with an electronic communication system. Instead of physically setting switches, the component communicates its identity and parameters electronically through a communication interface, substituting mechanical operation with electronic automation.
2Productivity
If automated detection and calibration systems are implemented, then labor intensity and human error are reduced, but device complexity increases
Solution Approach 1:
The control system incorporates a universal communication interface and microprocessor that can handle multiple component types through a single standardized protocol. This multi-functional approach allows the system to automatically recognize and calibrate various components (load cells, batteries, motors) without requiring separate dedicated circuits for each component type.
Solution Approach 2:
The patent introduces a communication interface as an intermediary between the component and the microprocessor. This intermediary layer handles the complex tasks of data transmission, identification, and parameter exchange, simplifying the overall system architecture while enabling automated detection and calibration functions.
Data Source
AI summary
A medical support control system comprises a medical support having memory and a control system in connection with the memory and for connection with a component for use at the medical support. The medical support control system further includes a detection system configured to detect when the component is connected to the control system, such as the control system microprocessor.


